• DocumentCode
    2909312
  • Title

    A Privacy Policy Conflict Detection Method Based on Sub-graph Isomorphism

  • Author

    Ren, Yi ; Peng, Zhiyong ; Cheng, Fangquan ; Guo, Sipei

  • Author_Institution
    State-Key Lab. of Software Eng., Wuhan Univ., WuHan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Nov. 2009
  • Firstpage
    107
  • Lastpage
    112
  • Abstract
    Privacy policy plays an important role in the collection and usage of privacy data. Compared with the access control policy, the privacy policy shows three characteristics: (1) the set of privacy policies can offer more semantics; (2) The privacy policy is created by the data owner, whereas the access control policy is created by the database manager; (3) they work in different ways, accurate matching for the privacy and sequence matching for the access control. All of the characteristics make the privacy policy more complex and much easier to produce conflicts. In order to give better solution for the conflicts, this paper proposes a method based on sub-graph isomorphic. This method models the privacy policy and each possible policy conflict pattern as a stratified-directed graph (SDG), and an algorithm is proposed to detect whether the SDG of a privacy conflict mode is isomorphic to that of privacy policies.
  • Keywords
    data privacy; directed graphs; access control policy; data owner; data privacy; database manager; privacy conflict mode; privacy policy conflict detection method; sequence matching; stratifled-directed graph; sub-graph isomorphism; Access control; Computer network management; Computer networks; Computer security; Data privacy; Databases; Information security; Lifting equipment; Postal services; Software engineering; conflict detection; privacy database; sub-graph isomorphism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3843-3
  • Electronic_ISBN
    978-1-4244-5068-8
  • Type

    conf

  • DOI
    10.1109/MINES.2009.251
  • Filename
    5368973